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The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Patent No.:

US 11961593 B1

PDFFull Text
Date of Patent:
Apr. 16, 2024

Filed:

Nov. 17, 2021

Artificial intelligence-based determination of analyte data for base calling

Applicant:

Illumina, Inc., San Diego, CA (US);

Inventors:

Anindita Dutta, San Francisco, CA (US);

Dorna Kashefhaghighi, Menlo Park, CA (US);

Amirali Kia, San Mateo, CA (US);

Assignee:

Illumina, Inc., San Diego, CA (US);

Attorney:

Keller Preece PLLC

Primary Examiner:

Michael S Osinski

Int. Cl.
CPC ...
G06V 10/44 (2022.01); G06F 16/907 (2019.01); G06F 18/21 (2023.01); G06F 18/213 (2023.01); G06F 18/214 (2023.01); G06F 18/23 (2023.01); G06F 18/23211 (2023.01); G06F 18/24 (2023.01); G06F 18/2415 (2023.01); G06F 18/2431 (2023.01); G06N 3/04 (2023.01); G06N 3/08 (2023.01); G06N 3/084 (2023.01); G06N 5/046 (2023.01); G06N 7/01 (2023.01); G06V 10/26 (2022.01); G06V 10/75 (2022.01); G06V 10/762 (2022.01); G06V 10/764 (2022.01); G06V 10/77 (2022.01); G06V 10/778 (2022.01); G06V 10/82 (2022.01); G06V 10/98 (2022.01); G06V 20/40 (2022.01); G06V 20/69 (2022.01); G16B 40/00 (2019.01); G16B 40/20 (2019.01);
U.S. Cl.
CPC ...
G16B 40/20 (2019.02); G06F 16/907 (2019.01); G06F 18/213 (2023.01); G06F 18/214 (2023.01); G06F 18/217 (2023.01); G06F 18/23 (2023.01); G06F 18/23211 (2023.01); G06F 18/24 (2023.01); G06F 18/2415 (2023.01); G06F 18/2431 (2023.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01); G06N 3/084 (2013.01); G06N 7/01 (2023.01); G06V 10/267 (2022.01); G06V 10/454 (2022.01); G06V 10/751 (2022.01); G06V 10/763 (2022.01); G06V 10/764 (2022.01); G06V 10/7715 (2022.01); G06V 10/7784 (2022.01); G06V 10/82 (2022.01); G06V 10/993 (2022.01); G06V 20/69 (2022.01); G16B 40/00 (2019.02); G06N 5/046 (2013.01); G06V 20/47 (2022.01);
Abstract

The technology disclosed relates to artificial intelligence-based determination of analyte data for base calling. In particular, the technology disclosed uses input image data that is derived from a sequence of images. Each image in the sequence of images represents an imaged region and depicts intensity emissions indicative of one or more analytes and a surrounding background of the intensity emissions at a respective one of a plurality of sequencing cycles of a sequencing run. The input image data comprises image patches extracted from each image in the sequence of images. The input image data is processed through a neural network to generate an alternative representation of the input image data. The alternative representation is processed through an output layer to generate an output indicating properties of respective portions of the imaged region.

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